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Localisation of mobile nodes in wireless networks with correlated in time measurement noise.

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>01/2011
<mark>Journal</mark>IEEE Transactions on Mobile Computing
Issue number1
Number of pages10
Pages (from-to)44-53
<mark>Original language</mark>English


Wireless sensor networks are an inherent part of decision making, object tracking and location awareness systems. This work is focused on simultaneous localisation of mobile nodes based on received signal strength indicators (RSSIs) with correlated in time measurement noises. Two approaches to deal with the correlated measurement noises are proposed in the framework of auxiliary particle filtering: with a noise augmented state vector and the second approach implements noise decorrelation. The performance of the two proposed multi model auxiliary particle filters (MM AUX-PFs) is validated over simulated and real RSSIs and high localisation accuracy is demonstrated.